Calculating Frequentist R-squared
Let's practice calculating the R-squared. By starting with the frequentist R-squared, we can check our formulas for calculating the R-squared by hand, by checking against the value in the frequentist summary. The lm_model and lm_summary objects are already in your environment.
This exercise is part of the course
Bayesian Regression Modeling with rstanarm
Exercise instructions
- Print the R-squared value from the
lm_summaryobject - Calculate the variance of the residuals of the
lm_model - Calculate the variance of the predicted values of the
lm_model - Calculate the R-squared value
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Print the R-squared from the linear model
lm_summary$___
# Calulate sums of squares
ss_res <- ___(___(lm_model))
ss_fit <- ___(___(lm_model))
# Calculate the R-squared
1 - (___ / (___ + ___))